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Record W2321628205 · doi:10.1097/pas.0000000000000291

Expanding the Morphologic Spectrum of Differentiated VIN (dVIN) Through Detailed Mapping of Cases With p53 Loss

2014· article· en· W2321628205 on OpenAlexaff
Naveena Singh, Sarah Lam Shang Leen, Guangming Han, Asma Faruqi, Fani Kokka, Adam N. Rosenthal, Jiang Xin, Rachel Kim, Jessica N. McAlpine, C. Blake Gilks

Bibliographic record

VenueThe American Journal of Surgical Pathology · 2014
Typearticle
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsHealth Sciences CentreVancouver General HospitalSunnybrook Health Science Centre
Fundersnot available
KeywordsPathologyImmunostainingImmunohistochemistryMedicineCarcinomaH&E stainPathologicalEpitheliumLesionBiology

Abstract

fetched live from OpenAlex

The pathogenesis of vulvar squamous cell carcinoma follows 1 of 2 distinct pathways. A precursor lesion in the human papilloma virus-independent pathway, differentiated vulvar intraepithelial neoplasia (dVIN), was only recently characterized in detail and is infrequently diagnosed without an associated component of invasive carcinoma. Aberrant p53 immunostaining is frequently seen in dVIN, and in approximately 25% to 30% of cases it manifests as a complete loss or a p53-null pattern. The abrupt transition between p53 loss and basal p53 expression in lesional versus nonlesional epithelium allows clear demarcation between neoplastic and non-neoplastic epithelium. For this study, 14 specimens from 10 patients were identified from the pathology archives of 2 teaching hospitals on the basis of: (1) a diagnosis of dVIN, with or without invasive carcinoma; and (2) p53-null immunostaining pattern in lesional cells. Ten specimens had associated invasive carcinoma. All sections from each specimen that showed the specimen resection margin were stained for p53 and reviewed together with all hematoxylin and eosin sections. Detailed morphologic assessment of the p53-null epithelium was made and compared with the adjacent benign squamous epithelium. The status of the resection margins based on the original pathologic assessment was compared with that assessed with p53 immunohistochemistry. One specimen showed p53 loss in the invasive carcinoma but patchy basal positivity in the region originally diagnosed as dVIN, supporting interpretation as a benign hyperplastic focus, rather than dVIN. In the remaining 13 specimens the areas originally diagnosed as dVIN, as well as the associated invasive carcinoma (if present), were p53-null. In 8 of these specimens, on the basis of the presence of p53-null immunostaining and subtle morphologic abnormalities, dVIN was more extensive than originally recognized. The spectrum of morphologic changes in p53-null regions that were in continuity with areas originally recognized as dVIN were subtle and typically consisted of an abrupt change in maturation of the squamous epithelium (loss of keratohyaline granules and parakeratosis), tinctorial alterations in the keratinocytes, with cells containing more abundant eosinophilic cytoplasm, and minimal basal nuclear atypia. Margin status changed from negative to positive in 4 of 13 specimens and from focally to more extensively positive in an additional 3 specimens. In summary, the clonal in situ component of non-human papilloma virus vulvar squamous cell carcinoma can be characterized by very subtle morphologic abnormalities that may be misinterpreted as benign change. This results in underestimation of the extent of dVIN, and, as a result, resection margin involvement may be significantly underestimated. dVIN can also be overdiagnosed in areas of reactive change. Better tools for diagnosis of dVIN are needed; until such tools are developed the limitations in the current diagnosis of dVIN should be recognized.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.250
Threshold uncertainty score0.748

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.036
GPT teacher head0.320
Teacher spread0.284 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations81
Published2014
Admission routes1
Has abstractyes

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